{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:JD2QPQGKXE74CD3STDRI4P6NH3","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"7b0528cb3bb6ab7285e49802107a50c7846e23a22c29c2c843142a8aa222b233","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-31T09:48:41Z","title_canon_sha256":"3053e6dc800fd9fcdaa57906c22a6366f493710d49aecc015c0b2a6fd6bd9bad"},"schema_version":"1.0","source":{"id":"1907.13394","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.13394","created_at":"2026-07-05T01:13:53Z"},{"alias_kind":"arxiv_version","alias_value":"1907.13394v3","created_at":"2026-07-05T01:13:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.13394","created_at":"2026-07-05T01:13:53Z"},{"alias_kind":"pith_short_12","alias_value":"JD2QPQGKXE74","created_at":"2026-07-05T01:13:53Z"},{"alias_kind":"pith_short_16","alias_value":"JD2QPQGKXE74CD3S","created_at":"2026-07-05T01:13:53Z"},{"alias_kind":"pith_short_8","alias_value":"JD2QPQGK","created_at":"2026-07-05T01:13:53Z"}],"graph_snapshots":[{"event_id":"sha256:351df3c526f32145d7d5fd91528845dc0ec0dd31364a8d9efeeb9f90a94f8175","target":"graph","created_at":"2026-07-05T01:13:53Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1907.13394/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent years have witnessed increasing attention in cartoon media, powered by the strong demands of industrial applications. As the first step to understand this media, cartoon face recognition is a crucial but less-explored task with few datasets proposed. In this work, we first present a new challenging benchmark dataset, consisting of 389,678 images of 5,013 cartoon characters annotated with identity, bounding box, pose, and other auxiliary attributes. The dataset, named iCartoonFace, is currently the largest-scale, high-quality, richannotated, and spanning multiple occurrences in the field","authors_text":"He Yan, Jia Li, Junhui Liu, Mengyuan Ren, Xiangju Lu, Yifan Zhao, Yi Zheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-31T09:48:41Z","title":"Cartoon Face Recognition: A Benchmark Dataset"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.13394","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:d7ec655fb3c8d9113b7b2342a3b3708ce7a95bb5b1af5bdd41074aaa16b4a948","target":"record","created_at":"2026-07-05T01:13:53Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"7b0528cb3bb6ab7285e49802107a50c7846e23a22c29c2c843142a8aa222b233","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-31T09:48:41Z","title_canon_sha256":"3053e6dc800fd9fcdaa57906c22a6366f493710d49aecc015c0b2a6fd6bd9bad"},"schema_version":"1.0","source":{"id":"1907.13394","kind":"arxiv","version":3}},"canonical_sha256":"48f507c0cab93fc10f7298e28e3fcd3eeec8552759bb62844ac4290add71a322","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"48f507c0cab93fc10f7298e28e3fcd3eeec8552759bb62844ac4290add71a322","first_computed_at":"2026-07-05T01:13:53.870830Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:13:53.870830Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6Ssk6woRwXpnm3IMo4OUexGFFUGh9Jw612Vn0taazqhinq9mxKkl/acmccveoB9G1Qwx4JkGIRoubzHyRIU2Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:13:53.871262Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.13394","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d7ec655fb3c8d9113b7b2342a3b3708ce7a95bb5b1af5bdd41074aaa16b4a948","sha256:351df3c526f32145d7d5fd91528845dc0ec0dd31364a8d9efeeb9f90a94f8175"],"state_sha256":"773cb8503ef3a46ec055c94547856e3ded9d83578242eab8d9eed7a4e890f08e"}